PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?cat ?labelFr ?count WHERE {
  {
    ?cat wdt:P361 wd:Q112176282 ; wdt:P1114 ?count .
    FILTER ( ?count > 499 ) .
    OPTIONAL {
      ?cat rdfs:label ?labelFr FILTER ( LANG( ?labelFr ) = "fr" )
    }
  } UNION {
    BIND( IRI( "http://example.org/OTHER" ) AS ?cat ) BIND( "OTHER" AS ?labelFr ) {
      SELECT ( SUM( ?c ) AS ?count ) WHERE {
        ?cat2 wdt:P361 wd:Q112176282 ; wdt:P1114 ?c .
        FILTER ( ?c <= 499 )
      }
    }
  }
}
ORDER BY DESC ( ?count )

Results (from Wikidata):
- wd:Q3477483 — section de commune (fr): 27000
- http://example.org/OTHER — OTHER: 0

Notes: I searched Wikidata for items that are part of the item "level 3 of legal categories in France" (wd:Q112176282) and that have a quantity (P1114) representing the number of legal units. Only one level-3 category in Wikidata had a recorded quantity > 499: "section de commune" (wd:Q3477483) with 27,000 legal units. The aggregate "OTHER" (synthetic IRI) sums counts of all level-3 categories with counts <= 499; in Wikidata these sum to 0 (meaning either there are no such counts recorded, or the categories with counts are all >499 or have no P1114 statement).

What is the number of legal units for each level 3 legal category in France, with the category name in French, where the count of legal units is greater than 499? Additionally, provide a summary line labeled "OTHER" that sums up the number of legal units for all other categories with counts of 499 or less.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the number of legal units for each level 3 legal category in France, with the category name in French, where the count of legal units is greater than 499? Additionally, provide a summary line labeled "OTHER" that sums up the number of legal units for all other categories with counts of 499 or less.

[Assistant] Step 1: I'll search for entities related to "legal unit", "legal unit level 3", and French terms like "unité légale" and "catégorie juridique niveau 3" to find the relevant items. I will explain each search and results.

[Tool]
Top 10 entity alternatives:
1. France v United States, also known as France 3-0 United States (wd:Q115699409): instance of international association football match, instance of friendly match
2. France 3 (wd:Q1322641): French public television channel, instance of television station, instance of television channel
3. France 3 (wd:Q20642179): instance of sailing ship, 12-metre class yacht, instance of sloop
4. France 3 Nord-Pas-de-Calais (wd:Q3080611): instance of television channel, television channel
5. France 3 Midi-Pyrénées, also known as France 3 Sud (wd:Q2741355): instance of television station, television channel
6. Nicktoons: Attack of the Toybots, also known as Nicktoons Unite 3 (wd:Q9049923): instance of video game, 2007 video game
7. France 3 Alsace (wd:Q3080582): instance of television station, television channel
8. France 3 Aquitaine (wd:Q3080580): instance of television station, television channel
9. France 3 Bretagne (wd:Q3080593): instance of television station, French television channel
10. France 3 Provence-Alpes (wd:Q3080618): instance of television station, television channel

[Tool]
Top 10 entity alternatives:
1. Relevant, also known as Saint-Christophe-de-Relevant (rattaché à Relevant), Unité, Saint-Cyr-de-Relevant (rattaché à Relevant) (wd:Q966793): instance of commune of France, commune in Ain, France
2. Saint-Nicolas-lès-Cîteaux, also known as Unité (wd:Q16626): instance of commune of France, commune in Côte-d'Or, France
3. Sainte-Marie-au-Bosc, also known as Unité (wd:Q766615): commune in Seine-Maritime, France, instance of commune of France
4. Lalœuf, also known as Unité (wd:Q1099812): commune in Meurthe-et-Moselle, France, instance of commune of France
5. Nocé, also known as Unité, Saint-Quentin-le-Petit (réunie à Nocé) (wd:Q1389349): former commune in Orne, France, instance of delegated commune, instance of commune of France
6. University of Teramo, also known as UniTE, Università degli Studi di Teramo (wd:Q2303527): instance of public university, Italian university
7. connection, also known as joining, merge, merging, union, unite (wd:Q12819913)
8. Unite! (wd:Q685172): instance of single, single
9. HMS Surprise, also known as Unité (wd:Q1540671): 1794 Unité-class corvette, instance of corvette
10. Unite the Union, also known as Unite (wd:Q16254509): British and Irish trade union, instance of labor union

[Tool]
Top 10 property alternatives:
1. subclass of, also known as subcategory of, subgenre of, sort of, subtype of, type of (wd:P279 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
2. copyright status as a creator, also known as copyright status as creator, copyright status of creator's works, copyright status of works, statut des droits d'auteur du createur (wd:P7763 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): states if the body of work published during the lifetime of this creator is still copyrighted or in the public domain
3. category's main topic, also known as item for this category, main article in category, main category topic, main subject of category, main topic of category (wd:P301 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): primary topic of the subject Wikimedia category, subproperty of main subject
4. items classified, also known as type of items classified, type of items categorized, entities categorized, type of entities classified, type of entities categorized (wd:P13359 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): type of items classified by this classification system or act of classification
5. Univ-droit jurist ID, also known as Univdroit jurist ID (wd:P5175 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a legal scholar on Univ-droit
6. topic's main category, also known as category for this topic, Wikipedia category, Wikimedia category, Wiki category, subject category (wd:P910 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): main Wikimedia category
7. Classiques des sciences sociales ID (wd:P5390 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier on the Classiques des sciences sociales website
8. category combines topics, also known as category intersects topics, topics of category, subjects of category, combines topics, cct (wd:P971 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): this category combines (intersects) these two or more topics
9. protective marking, also known as classification, confidentiality, document classification, document marking, information classification (wd:P10129 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): label applied to an intellectual work to indicate how the docume... be handled, particularly from a security or privacy perspective
10. legal form, also known as legal structure, structured as (wd:P1454 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): subproperty of instance of, legal form of an entity

[Assistant] I'll search for entities related to "unité légale" and "legal unit (France)" to find the appropriate Wikidata items and properties.

[Tool]
Top 10 entity alternatives:
1. France - United States (wd:Q128064892): women's rugby sevens match at the 2024 Summer Olympics, instance of match between national teams
2. France v. United States (wd:Q19034328): instance of legal case
3. France v United States, also known as Match amical France-USA, 9 juin 2018, France v United States of America, France 1-1 United States of America, France 1-1 United States (wd:Q115699796): instance of international association football match, instance of friendly match
4. United States v. France (wd:Q19030722): instance of United States Supreme Court decision, United States Supreme Court case
5. 2000 Summer Olympics men's basketball, France v United States, also known as France v United States (wd:Q129174927): 2000 Summer Olympics men's basketball final, instance of international basketball match, instance of final
6. 2000 Summer Olympics men's basketball, France v United States, also known as France v United States (wd:Q129173586): 2000 Summer Olympics men's basketball match, instance of international basketball match
7. 2020 Summer Olympics men's basketball, France v United States, also known as France v United States (wd:Q129173727): 2020 Summer Olympics men's basketball match, instance of international basketball match
8. 2020 Summer Olympics men's basketball, France v United States, also known as France v United States (wd:Q129174938): 2020 Summer Olympics men's basketball final, instance of international basketball match, instance of final
9. 2020 Summer Olympics women's basketball, France v United States, also known as France v United States (wd:Q129174466): 2020 Summer Olympics women's basketball match, instance of international basketball match
10. 2012 Summer Olympics women's basketball, United States v France, also known as United States v France (wd:Q129174933): 2012 Summer Olympics women's basketball final, instance of international basketball match, instance of final

[Assistant] Now I'll search for properties and entities containing "catégorie juridique" and "niveau 3" in Wikidata. I'll look for properties used in SIRENE/INSEE data.

[Tool]
Top 10 property alternatives:
1. copyright status as a creator, also known as copyright status as creator, copyright status of creator's works, copyright status of works, statut des droits d'auteur du createur (wd:P7763 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): states if the body of work published during the lifetime of this creator is still copyrighted or in the public domain
2. Univ-droit jurist ID, also known as Univdroit jurist ID (wd:P5175 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a legal scholar on Univ-droit
3. Annuaire de la magistrature ID, also known as Annuaire rétrospectif de la magistrature ID (wd:P5952 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a French magistrature on the 'Annuaire rétrospectif de la magistrature'
4. legal citation of this text, also known as case citation, citation, neutral citation, parallel citation, regulation citation (wd:P1031 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): legal citation of legislation or a court decision.
5. law digest, also known as law summary, legal norm digest (wd:P9376 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): short text that summarizes a law, decree and other legal rulings, part of the preamble
6. legal form, also known as legal structure, structured as (wd:P1454 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): subproperty of instance of, legal form of an entity
7. Italian cadastre code (municipality), also known as codice catastale (wd:P806 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for an Italian comune in the cadastre
8. main regulatory text, also known as authorizing legislation, statutory authorization, statutory authority, regulated by, legally established by (wd:P92 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): text setting the main rules by which the subject is regulated
9. Dictionnaire de l'Académie française ID (3rd edition) (wd:P11286 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a lexeme on the 3rd edition of the Dictionnaire de l'Académie française on the Académie française website
10. DBA ID, also known as DBA en ligne, NDBA ID, Net DBA, NetDBA (wd:P4992 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a person in the online 'Nouveau dictionnaire de biographie alsacienne'

[Tool]
Top 10 entity alternatives:
1. legal unit of measure (wd:Q22282168)
2. United States legal system, also known as court system of the United States, legal system of the United States (wd:Q4445375): instance of judiciary
3. Legal Affairs Unit Files (NAID 7408582) (wd:Q63912670): series in the National Archives and Records Administration's holdings, instance of collection
4. [New legal measure units] (wd:Q66870079): scientific article published on 01 September 1976, instance of scholarly article
5. type of legal entity in the UK, also known as type of business entity in the UK, type of business entity in the United Kingdom, type of business entity (UK), type of business entity (United Kingdom), type of legal entity in the United Kingdom (wd:Q57655433)
6. United Arab Emirates Legal Process (wd:Q18356599)
7. Coronary care units: legal considerations (wd:Q68900361): scientific article published on 01 January 1974, instance of scholarly article
8. Coronary care units: legal considerations (wd:Q39223479): scientific article published on January 1978, instance of scholarly article
9. Legal Problems of the Intensive Care Unit (wd:Q71819634): scientific article published on 01 September 1971, instance of scholarly article
10. LEGAL UNITS OF ELECTRIC MEASURE (wd:Q81196971): scientific article published on 01 January 1895, instance of scholarly article

[Tool]
Top 10 entity alternatives:
1. Sirene, also known as Bulgarian cheese (wd:Q13557581)
2. Sirène (wd:Q30917742): instance of submarine
3. Sirene (wd:Q12000606): instance of magazine, Norwegian magazine
4. Sirene (wd:Q17151217): 2014 studio album by Skambankt, instance of album
5. Sirene (wd:Q101623673): sculpture in Amsterdam, Netherlands, instance of sculpture
6. Sirens, also known as Sirene (wd:Q43102167): instance of television series, television series
7. IMO 5249613, also known as Nestor, Sirene, Afros (wd:Q123261492): ship built in 1949, instance of ship
8. SIRENE, also known as Register of Companies (wd:Q3509449): instance of company register, French Register of Companies
9. SIRENE, also known as Supplementary Information Request at the National Entry (wd:Q11946512): instance of government database, European information system, instance of rule
10. Sirene (wd:Q97097373): 2020 single by Levante, instance of single

[Tool]
Top 10 property alternatives:
1. INSEE department code, also known as code département Insee, Insee département code (wd:P2586 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number sequence for the identification of departments in France
2. Univ-droit jurist ID, also known as Univdroit jurist ID (wd:P5175 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a legal scholar on Univ-droit
3. copyright status as a creator, also known as copyright status as creator, copyright status of creator's works, copyright status of works, statut des droits d'auteur du createur (wd:P7763 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): states if the body of work published during the lifetime of this creator is still copyrighted or in the public domain
4. European Case Law ID, also known as ECLI, European Case Law Identifier (wd:P3570 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for case law in Europe
5. Annuaire de la magistrature ID, also known as Annuaire rétrospectif de la magistrature ID (wd:P5952 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for a French magistrature on the 'Annuaire rétrospectif de la magistrature'
6. legal form, also known as legal structure, structured as (wd:P1454 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): subproperty of instance of, legal form of an entity
7. Italian cadastre code (municipality), also known as codice catastale (wd:P806 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier for an Italian comune in the cadastre
8. law identifier, also known as i.d. of law, id of law, i.d. of regulation, id of regulation, law i.d. (wd:P8550 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): a sequence of numbers assigned to laws/acts that were passed by countries or local governments
9. DBA ID, also known as DBA en ligne, NDBA ID, Net DBA, NetDBA (wd:P4992 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): identifier of a person in the online 'Nouveau dictionnaire de biographie alsacienne'
10. INSEE arrondissement code (wd:P3423 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number sequence for identification of departmental arrondissements in France

[Assistant] I'll search Wikidata for items whose label contains "catégorie juridique" or "catégorie juridique (n3)" to find the level 3 legal categories used for French legal units.

[Tool]
Top 10 entity alternatives:
1. Gori, also known as Gorie (wd:Q5586416): Japanese voice actor and comedian, instance of human, owarai tarento, film director, comedian, tarento, actor
2. Gorie (wd:Q74262351): instance of family name, family name
3. Gorîe, also known as Gorîe (family name), Gorîe (surname) (wd:Q107227231): instance of family name, family name
4. Gorie Gorie, also known as Gorie Gorie Parish, Parish of Gorie Gorie (wd:Q63523654): parish of Finch County, New South Wales, Australia, instance of parish of New South Wales
5. Goryelovo, also known as Gorelovo, Gorielovo (wd:Q18772869): human settlement in Sebezhsky District, Pskov Oblast, Russia, instance of hamlet
6. Goriella (wd:Q5586442): instance of taxon, genus of molluscs
7. Gorieswerder (wd:Q1538278): instance of river island
8. Goriely, also known as Goriely (family name), Goriely (surname) (wd:Q104537723): instance of family name, family name
9. Ola Gorie (wd:Q7082848): British jewelry designer, instance of human, jewelry designer
10. Horiev, also known as Horyev, Горєв (wd:Q109375861): instance of family name, family name (Горєв)

[Tool]
Top 10 entity alternatives:
1. level 3 of legal categories in France (wd:Q112176282): legal categories taking into account the specificity of the lega...cerned defined by the nomenclature of legal categories in France, instance of statistical unit
2. Biobank as a legal category (wd:Q129792623): scholarly article published on 14 July 2023, instance of scholarly article
3. regulatory class of chemical substances, also known as class of chemical substances by regulatory status, legal category of chemical substances, class of chemical substances by regulation, regulatory category of chemical substances, class of chemical substances by legal status (wd:Q133177856)
4. Data Philanthropy:Its Category and Legal Framework (wd:Q120581360): scholarly article in Journal of Shanghai Jiaotong University (Philosophy and Social Sciences) no. 2, 2022, instance of scholarly article
5. LEGAL CONSCIOUSNESS AS AN ANTI-CORRUPTION CATEGORY (wd:Q129142906): instance of scholarly article, scholarly article
6. level 1 of legal categories in France (wd:Q112176269): main families of legal forms defined by the nomenclature of legal categories in France, instance of statistical unit
7. level 2 of legal categories in France (wd:Q112176278): legal categories in relation to the fundamental legal criteria of law defined by the nomenclature of legal categories in France, instance of statistical unit
8. About legal limitation as criminal law category (wd:Q128607408): instance of scholarly article, scholarly article
9. Legal content of the category "False information (wd:Q127462941): instance of scholarly article, scholarly article
10. The Legal Category of Authenticity. Current Perspectives (wd:Q128037276): instance of scholarly article, scholarly article

[Assistant] I'll inspect the properties of the item "level 3 of legal categories in France" (wd:Q112176282) to find how counts of legal units are represented (likely a statement with a quantity or a statistical property). I'll search for properties of that entity mentioning counts or "number of legal units".

[Tool]
Top 10 property alternatives:
1. part of, also known as meronym of, contained within, of, part of-property, section of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. instance of, also known as example of, has type, is a, is an, is of type (wd:P31 as wdt/p): type to which this subject corresponds/belongs. Different from P...tains, and the volcano is a type (instance) of volcanic landform

No other items found

[Assistant] I'll look for items that are instances of these level 3 legal categories and see if they have counts or if there is some statistical data item that records counts for categories (maybe as "number of entities" with property like "number of occurrences" or "population"). I'll search for properties like "number of entities" or "count" in Wikidata.

[Tool]
Top 10 property alternatives:
1. collection or exhibition size, also known as number of objects, size of exhibition, size of collection, exhibition size, number of records (wd:P1436 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of items in a collection or exhibition
2. measured physical quantity, also known as physical quantity, quantity, measures, measure of (wd:P111 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): value of a physical property expressed as number multiplied by a unit
3. quantity, also known as number of instances, total number, total, qty, occurrences (wd:P1114 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of instances of this subject in the universe of the subje...e actual number of instances in Wikidata may be lower or higher)
4. items classified, also known as type of items classified, type of items categorized, entities categorized, type of entities classified, type of entities categorized (wd:P13359 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): type of items classified by this classification system or act of classification
5. number of housing units, also known as dwelling-places, number of dwelling-places, housing units (wd:P10814 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
6. is a number of, also known as is a quantity of, the number of, quantifies, number of, is the number of (wd:P11279 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): this entity is a number representing the quantity of this item
7. type of unit for this property (wd:P2876 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): units for this property are all instances of this item
8. part of, also known as meronym of, contained within, of, part of-property, section of (wd:P361 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
9. number of parts of this work, also known as number of movements, number of parts of this work of art, number of pictures, number of segments of anthology film, number of songs (wd:P2635 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): the number of parts that a work comprises
10. number of records, also known as database size, rows, records, quantitiy of records, number of rows (wd:P4876 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number of values of an identifier or records in a catalog

[Assistant] Property P1114 (quantity) might be used to indicate counts. I'll inspect items that are instances of level 3 legal categories to see if they have P1114 statements. First I'll list subclasses or items under wd:Q112176282.

[Tool]
Got 32 rows and 3 columns, showing the first 10 rows below:
| subject                                               | property              | object                                                                   |
| ----------------------------------------------------- | --------------------- | ------------------------------------------------------------------------ |
| level 3 of legal categories in France (wd:Q112176282) | instance of (wdt:P31) | statistical unit (wd:Q3409269)                                           |
| level 3 of legal categories in France (wd:Q112176282) | part of (wdt:P361)    | legal categories in France (wd:Q87711223)                                |
| level 3 of legal categories in France (wd:Q112176282) | schema:description    | catégories juridiques en tenant ... catégories juridiques en France (fr) |
| level 3 of legal categories in France (wd:Q112176282) | schema:name           | 3. raven pravnih kategorij Francije (sl)                                 |
| level 3 of legal categories in France (wd:Q112176282) | rdf:type              | wikibase:Item                                                            |
| level 3 of legal categories in France (wd:Q112176282) | rdfs:label            | 3. raven pravnih kategorij Francije (sl)                                 |
| level 3 of legal categories in France (wd:Q112176282) | skos:prefLabel        | 3. raven pravnih kategorij Francije (sl)                                 |
| level 3 of legal categories in France (wd:Q112176282) | instance of (p:P31)   | s:Q112176282-BE139501-899A-4232-9C71-BD992A1096BA                        |
| level 3 of legal categories in France (wd:Q112176282) | part of (p:P361)      | s:Q112176282-6B016F21-3B3B-4BF2-91FC-E1E305DB08FD                        |
| level 3 of legal categories in France (wd:Q112176282) | schema:description    | legal categories taking into acc...re of legal categories in France (en) |
| ...                                                   | ...                   | ...                                                                      |

[Assistant] I need the actual level 3 categories (the members). There may be items classified as 'instance of' those categories or items that are 'legal category N3: X'. Let's search for items that have 'part of' property pointing to wd:Q112176282 or items that are instances of wd:Q112176282.

[Tool]
Top 10 entity alternatives:
1. level 3 of legal categories in France (wd:Q112176282): legal categories taking into account the specificity of the lega...cerned defined by the nomenclature of legal categories in France, instance of statistical unit
2. level 1 of legal categories in France (wd:Q112176269): main families of legal forms defined by the nomenclature of legal categories in France, instance of statistical unit
3. level 2 of legal categories in France (wd:Q112176278): legal categories in relation to the fundamental legal criteria of law defined by the nomenclature of legal categories in France, instance of statistical unit
4. Reliefs of Station 3 in France (wd:Q132166567): instance of stations of the Cross, Jesus falls the first time
5. Paintings of Station 3 in France (wd:Q132165434): instance of stations of the Cross, Jesus falls the first time
6. nomenclature of legal categories in France 2009 (wd:Q112176154): instance of version, edition or translation
7. nomenclature of legal categories in France 1991 (wd:Q112176140): instance of version, edition or translation
8. nomenclature of legal categories in France 1996 (wd:Q112176141): instance of version, edition or translation
9. nomenclature of legal categories in France 2000 (wd:Q112176143): instance of version, edition or translation
10. nomenclature of legal categories in France 2002 (wd:Q112176147): instance of version, edition or translation

[Assistant] I'll inspect the 'nomenclature of legal categories in France 2009' to see how categories are represented.

[Tool]
Got 25 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                             | object                                            |
| --------------------------------------------------------------- | ------------------------------------ | ------------------------------------------------- |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | instance of (wdt:P31)                | version, edition or translation (wd:Q3331189)     |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | publication date (wdt:P577)          | 2009-11-30T00:00:00Z (xsd:dateTime)               |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | edition or translation of (wdt:P629) | legal categories in France (wd:Q87711223)         |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | schema:name                          | 2009年法国法律类别命名法 (zh)                               |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | rdf:type                             | wikibase:Item                                     |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | rdfs:label                           | 2009年法国法律类别命名法 (zh)                               |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | skos:prefLabel                       | 2009年法国法律类别命名法 (zh)                               |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | instance of (p:P31)                  | s:Q112176154-D7EB1D6E-FE77-464B-BBE6-1E6657542E61 |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | publication date (p:P577)            | s:Q112176154-1D48E6E3-92D3-46FC-817B-F15ED9D57F13 |
| nomenclature of legal categories in France 2009 (wd:Q112176154) | edition or translation of (p:P629)   | s:Q112176154-D686DC43-86A1-4EDB-8CAB-7BAFD121376E |
| ...                                                             | ...                                  | ...                                               |

[Assistant] I'll search for items that are instances of "legal categories in France" (wd:Q87711223) and see their labels.

[Tool]
Got 117 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                 | object                                                                 |
| ----------------------------------------- | ---------------------------------------- | ---------------------------------------------------------------------- |
| legal categories in France (wd:Q87711223) | instance of (wdt:P31)                    | nomenclature (wd:Q863247)                                              |
| legal categories in France (wd:Q87711223) | author (wdt:P50)                         | Sirene interministerial committee (wd:Q87711314)                       |
| legal categories in France (wd:Q87711223) | main subject (wdt:P921)                  | type of legal entity in France (wd:Q56427813)                          |
| legal categories in France (wd:Q87711223) | country (wdt:P17)                        | France (wd:Q142)                                                       |
| legal categories in France (wd:Q87711223) | full work available online at (wdt:P953) | <https://www.insee.fr/fr/information/2028129>                          |
| legal categories in France (wd:Q87711223) | has edition or translation (wdt:P747)    | nomenclature of legal categories in France before 1991 (wd:Q112176136) |
| legal categories in France (wd:Q87711223) | schema:description                       | nomenclatura (es)                                                      |
| legal categories in France (wd:Q87711223) | schema:name                              | categorías jurídicas en Francia (es)                                   |
| legal categories in France (wd:Q87711223) | rdf:type                                 | wikibase:Item                                                          |
| legal categories in France (wd:Q87711223) | rdfs:label                               | categorías jurídicas en Francia (es)                                   |
| ...                                       | ...                                      | ...                                                                    |

[Assistant] I need the specific level 3 category items — they might be child items in this nomenclature. I'll search for items that are part of wd:Q87711223.

[Tool]
Top 10 entity alternatives:
1. France, also known as French Republic, FRA, FR (wd:Q142): instance of sovereign state, country in Western Europe, instance of republic, instance of country
2. France men's national association football team, also known as France national football team, Les Bleus, France national soccer team, France national association football team, France men's national football team (wd:Q47774)
3. French Fifth Republic, also known as 5th French Republic, French Republic, French 5th Republic, France, Fifth Republic (wd:Q200686): current system of government of France (1958–present), instance of republic regime in France
4. Bourbon Restoration in France, also known as France, Kingdom of France (wd:Q207162): period of French history, 1814–1830, instance of historical country, instance of regime
5. French Community, also known as France (wd:Q1120363): International political association, instance of coalition
6. France at the 2008 Summer Olympics, also known as France (wd:Q146845): instance of Olympic delegation, sporting event delegation
7. France, also known as French battleship France (wd:Q49644): 1912 Courbet-class battleship, instance of dreadnought
8. France, also known as On a Half Clear Morning (wd:Q76488728): 2021 film directed by Bruno Dumont, instance of film
9. La France, also known as France (wd:Q3209212): 2007 film by Serge Bozon, instance of film
10. France (wd:Q5478259): instance of constituency of the European Parliament, constituency of the European Parliament

[Assistant] Searching like this isn't productive. Instead, I'll look for items with property "part of" pointing to the nomenclature or the level 3 class. Use list to find triples with property wdt:P361 and object wd:Q87711223.

[Tool]
Got 3 rows and 3 columns:
| subject                                               | property           | object                                    |
| ----------------------------------------------------- | ------------------ | ----------------------------------------- |
| level 1 of legal categories in France (wd:Q112176269) | part of (wdt:P361) | legal categories in France (wd:Q87711223) |
| level 2 of legal categories in France (wd:Q112176278) | part of (wdt:P361) | legal categories in France (wd:Q87711223) |
| level 3 of legal categories in France (wd:Q112176282) | part of (wdt:P361) | legal categories in France (wd:Q87711223) |

[Assistant] So the nomenclature item exists but the actual categories are probably represented differently. There's likely a set of items that represent each level 3 category, perhaps with a property linking them to the nomenclature. I'll search for items that are instances of "level 3 of legal categories in France" (wd:Q112176282).

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. Saint-Étienne-en-Bresse, also known as Niveau (wd:Q1624266): commune in Saône-et-Loire, France, instance of commune of France
2. Matthijs Naiveu, also known as M. Nepveu, M. Nepveü, M. Neveu, Naiveau, Naiveu (wd:Q708036): Dutch painter (1647-1726), instance of human, painter
3. niveau (wd:L44037-F1)
4. niveau (wd:L44037)
5. Das Niveau (wd:Q1169983): instance of musical group, band
6. K Niveau (wd:Q2031068): index number for the degree of heat loss, instance of index number
7. Gérard Niveau (wd:Q88321137): instance of human, researcher
8. Maurice Niveau (wd:Q55998320): instance of human
9. Niveau Gallery (wd:Q76522213): 1943-1947 New York City NY Dealer/Gallery, instance of art gallery
10. Thana Niveau (wd:Q110595761): instance of human, writer

[Assistant]
This is getting long. Maybe the counts are stored as statements on the category items using property 'quantity' P1114 or 'statistical population' or 'has part' count. Another approach: search for items with French label matching known French legal categories like "Entreprise individuelle", "Société anonyme", "Association", etc., and see if they have property 'level 3'. But the user asked for "number of legal units for each level 3 legal category in France, with the category name in French, where the count > 499". The SIRENE dataset provides counts per category; maybe Wikidata has statements "quantity (P1114) number of legal units" with qualifiers stating country France and class equals a level 3 category.

Let's search for statements with P1114 about number of units and with qualifier indicating legal categories in France. Search for triples where property is P1114 and object is a number > 499? The list function can't filter by numeric. But we can list triples with property P1114 to see how it's used.

[Tool]
Got 10,971 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property             | object                     |
| ---------------------------------------- | -------------------- | -------------------------- |
| star (wd:Q523)                           | quantity (wdt:P1114) | _:bn1249913                |
| human (wd:Q5)                            | quantity (wdt:P1114) | 117020448575 (xsd:decimal) |
| ocean (wd:Q9430)                         | quantity (wdt:P1114) | 5 (xsd:decimal)            |
| ear (wd:Q7362)                           | quantity (wdt:P1114) | 2 (xsd:decimal)            |
| U.S. state (wd:Q35657)                   | quantity (wdt:P1114) | 50 (xsd:decimal)           |
| mathematician (wd:Q170790)               | quantity (wdt:P1114) | 80000 (xsd:decimal)        |
| federated state of Germany (wd:Q1221156) | quantity (wdt:P1114) | 16 (xsd:decimal)           |
| schizophrenia (wd:Q41112)                | quantity (wdt:P1114) | 20000000 (xsd:decimal)     |
| region of France (wd:Q36784)             | quantity (wdt:P1114) | 18 (xsd:decimal)           |
| Frank Zappa (wd:Q127330)                 | quantity (wdt:P1114) | 111 (xsd:decimal)          |
| ...                                      | ...                  | ...                        |

[Assistant] I need a more targeted approach: find items that are 'type of legal entity in France' (wd:Q56427813) or similar. The nomenclature's main subject is wd:Q56427813. Let's find items that are instances or subclasses of wd:Q56427813.

[Tool]
Got 1 row and 3 columns:
| subject                                   | property                | object                                        |
| ----------------------------------------- | ----------------------- | --------------------------------------------- |
| legal categories in France (wd:Q87711223) | main subject (wdt:P921) | type of legal entity in France (wd:Q56427813) |

[Tool]
Got 338 rows and 3 columns, showing the first 10 rows below:
| subject                                                        | property              | object                                        |
| -------------------------------------------------------------- | --------------------- | --------------------------------------------- |
| prefecture (wd:Q179831)                                        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| agglomeration community (wd:Q159321)                           | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| commune community (wd:Q423785)                                 | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| urban community (wd:Q423790)                                   | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| métropole (wd:Q3333855)                                        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| territorial collectivity of France (wd:Q583865)                | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| société à responsabilité limitée (wd:Q15091621)                | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| public establishment of an administrative nature (wd:Q3244038) | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| établissement public (wd:Q15343039)                            | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| association under the French law of 1901 (wd:Q11513034)        | instance of (wdt:P31) | type of legal entity in France (wd:Q56427813) |
| ...                                                            | ...                   | ...                                           |

[Assistant]
These are the types of legal entities in France. The user specifically wants "level 3 legal category" counts of legal units. Possibly each legal category (level 3) is represented as items under the nomenclature; maybe they have property 'items classified' P13359 linking to types. Let's search for items with 'has part' or 'part of' relation to the level 3 class. Alternatively, the SIRENE dataset counts might be represented as 'quantity' statements on the legal category items with a qualifier indicating 'for France' or referencing the nomenclature edition.

Search for items that have label in French and are instance of 'level 3 of legal categories in France' or have 'nomenclature of legal categories in France 2009' as 'edition'. We tried P31 equals Q112176282 and got nothing. Maybe the level 3 categories are items whose 'class of legal category' is indicated by 'part of' linking to Q112176282. Let's search for items with P361 = wd:Q112176282. We listed earlier and only saw the class itself. So maybe categories are represented as subclass of Q56427813 with additional qualifier 'level 3' somewhere.

Search for items with property P279 (subclass of) and also have a property indicating 'level'. Maybe label includes "niveau 3". Let's search for entities with label containing "niveau 3" in French.

[Tool]
Top 10 entity alternatives:
1. France 3 (wd:Q1322641): French public television channel, instance of television station, instance of television channel
2. France 3 (wd:Q20642179): instance of sailing ship, 12-metre class yacht, instance of sloop
3. France 3 Nord-Pas-de-Calais (wd:Q3080611): instance of television channel, television channel
4. France 3 Midi-Pyrénées, also known as France 3 Sud (wd:Q2741355): instance of television station, television channel
5. France 3 Alsace (wd:Q3080582): instance of television station, television channel
6. France 3 Aquitaine (wd:Q3080580): instance of television station, television channel
7. France 3 Bretagne (wd:Q3080593): instance of television station, French television channel
8. France 3 Provence-Alpes (wd:Q3080618): instance of television station, television channel
9. France 3 Normandie (wd:Q3080601): instance of television station, French television channel
10. France 3 Régions, also known as All Regions France 3 (wd:Q10963): instance of television network, satellite television channel

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. legal unit of measure (wd:Q22282168)
2. United States legal system, also known as court system of the United States, legal system of the United States (wd:Q4445375): instance of judiciary
3. Legal Affairs Unit Files (NAID 7408582) (wd:Q63912670): series in the National Archives and Records Administration's holdings, instance of collection
4. [New legal measure units] (wd:Q66870079): scientific article published on 01 September 1976, instance of scholarly article
5. type of legal entity in the UK, also known as type of business entity in the UK, type of business entity in the United Kingdom, type of business entity (UK), type of business entity (United Kingdom), type of legal entity in the United Kingdom (wd:Q57655433)
6. United Arab Emirates Legal Process (wd:Q18356599)
7. Coronary care units: legal considerations (wd:Q68900361): scientific article published on 01 January 1974, instance of scholarly article
8. Coronary care units: legal considerations (wd:Q39223479): scientific article published on January 1978, instance of scholarly article
9. Legal Problems of the Intensive Care Unit (wd:Q71819634): scientific article published on 01 September 1971, instance of scholarly article
10. LEGAL UNITS OF ELECTRIC MEASURE (wd:Q81196971): scientific article published on 01 January 1895, instance of scholarly article

[Tool]
Top 10 entity alternatives:
1. Nombrevilla (wd:Q1640066): instance of municipality of Aragon, municipality of Spain
2. Sin Nombre, also known as Sin nombre (wd:Q1667482): 2009 film directed by Cary Fukunaga, instance of film
3. Dulce Nombre (wd:Q2392425): municipality in Copán Department, Honduras, instance of municipality of Honduras
4. Dulce Nombre, also known as Dulce Nombre de La Unión (wd:Q3716179): district in La Unión canton, Cartago province, Costa Rica, instance of district of Costa Rica
5. Dulce Nombre, also known as Dulce Nombre de Cartago (wd:Q3716178): district in Cartago canton, Cartago province, Costa Rica, instance of district of Costa Rica
6. Cabo Nombre (wd:Q17623389): point in Argentina, instance of point
7. Le Nombre (wd:Q3225018): instance of rock band, Canadian rock group
8. Canyon Nombre (wd:Q49785146): valley in San Diego County, California, United States of America, instance of valley
9. Adama Nombre (wd:Q4680089): Burkinabe engineer, instance of human, engineer
10. Dulce Nombre (wd:Q20587998): instance of human settlement

[Tool]
Got 117 rows and 3 columns, showing the first 10 rows below:
| subject                                   | property                                 | object                                                                 |
| ----------------------------------------- | ---------------------------------------- | ---------------------------------------------------------------------- |
| legal categories in France (wd:Q87711223) | instance of (wdt:P31)                    | nomenclature (wd:Q863247)                                              |
| legal categories in France (wd:Q87711223) | author (wdt:P50)                         | Sirene interministerial committee (wd:Q87711314)                       |
| legal categories in France (wd:Q87711223) | main subject (wdt:P921)                  | type of legal entity in France (wd:Q56427813)                          |
| legal categories in France (wd:Q87711223) | country (wdt:P17)                        | France (wd:Q142)                                                       |
| legal categories in France (wd:Q87711223) | full work available online at (wdt:P953) | <https://www.insee.fr/fr/information/2028129>                          |
| legal categories in France (wd:Q87711223) | has edition or translation (wdt:P747)    | nomenclature of legal categories in France before 1991 (wd:Q112176136) |
| legal categories in France (wd:Q87711223) | schema:description                       | nomenclatura (es)                                                      |
| legal categories in France (wd:Q87711223) | schema:name                              | categorías jurídicas en Francia (es)                                   |
| legal categories in France (wd:Q87711223) | rdf:type                                 | wikibase:Item                                                          |
| legal categories in France (wd:Q87711223) | rdfs:label                               | categorías jurídicas en Francia (es)                                   |
| ...                                       | ...                                      | ...                                                                    |

[Assistant] I'll inspect the item for "société à responsabilité limitée" (wd:Q15091621) to see if it has quantity statements (P1114) that might represent counts of legal units.

[Tool]
Got 97 rows and 3 columns, showing the first 10 rows below:
| subject                                         | property                            | object                                                |
| ----------------------------------------------- | ----------------------------------- | ----------------------------------------------------- |
| société à responsabilité limitée (wd:Q15091621) | instance of (wdt:P31)               | type of legal entity in France (wd:Q56427813)         |
| société à responsabilité limitée (wd:Q15091621) | catalog code (wdt:P528)             | 54                                                    |
| société à responsabilité limitée (wd:Q15091621) | country (wdt:P17)                   | France (wd:Q142)                                      |
| société à responsabilité limitée (wd:Q15091621) | part of (wdt:P361)                  | level 2 of legal categories in France (wd:Q112176278) |
| société à responsabilité limitée (wd:Q15091621) | subclass of (wdt:P279)              | private limited company (wd:Q17376040)                |
| société à responsabilité limitée (wd:Q15091621) | applies to jurisdiction (wdt:P1001) | France (wd:Q142)                                      |
| société à responsabilité limitée (wd:Q15091621) | name (wdt:P2561)                    | société à responsabilité limitée (SARL) (fr)          |
| société à responsabilité limitée (wd:Q15091621) | code (wdt:P3295)                    | 54                                                    |
| société à responsabilité limitée (wd:Q15091621) | Freebase ID (wdt:P646)              | /m/0263jdf                                            |
| société à responsabilité limitée (wd:Q15091621) | schema:description                  | bedrijfsvorm in Frankrijk (nl)                        |
| ...                                             | ...                                 | ...                                                   |

[Assistant] I'll run a SPARQL query to find items that are instances of "type of legal entity in France" (wd:Q56427813), are for country France (wd:Q142), and have a quantity (wdt:P1114). This should show if counts are stored on these items. I'll explain the query and results.

[Tool]
Got 1 row and 3 columns:
| cat         | catLabel                | count               |
| ----------- | ----------------------- | ------------------- |
| wd:Q3477483 | section de commune (fr) | 27000 (xsd:decimal) |

[Tool] Got no rows and 4 columns

[Assistant] I'll query Wikidata for items that are part of "level 3 of legal categories in France" (wd:Q112176282), have a French label, and a quantity (P1114). This will show which level 3 categories already have counts recorded. I'll run a SELECT to retrieve their identifiers, French labels, and counts.

[Tool]
Got 1 row and 3 columns:
| cat         | catLabelFr              | count               |
| ----------- | ----------------------- | ------------------- |
| wd:Q3477483 | section de commune (fr) | 27000 (xsd:decimal) |

[Tool] Got no rows and 3 columns

[Tool]
Got 28 rows and 3 columns, showing the first 10 rows below:
| subject     | property                            | object                                                         |
| ----------- | ----------------------------------- | -------------------------------------------------------------- |
| wd:Q3477483 | instance of (wdt:P31)               | legal form (wd:Q10541491)                                      |
| wd:Q3477483 | catalog code (wdt:P528)             | 7313                                                           |
| wd:Q3477483 | country (wdt:P17)                   | France (wd:Q142)                                               |
| wd:Q3477483 | part of (wdt:P361)                  | level 3 of legal categories in France (wd:Q112176282)          |
| wd:Q3477483 | subclass of (wdt:P279)              | public establishment of an administrative nature (wd:Q3244038) |
| wd:Q3477483 | applies to jurisdiction (wdt:P1001) | France (wd:Q142)                                               |
| wd:Q3477483 | name (wdt:P2561)                    | section de commune (fr)                                        |
| wd:Q3477483 | code (wdt:P3295)                    | 7313                                                           |
| wd:Q3477483 | quantity (wdt:P1114)                | 27000 (xsd:decimal)                                            |
| wd:Q3477483 | ELF code (wdt:P10421)               | Y1W1                                                           |
| ...         | ...                                 | ...                                                            |

[Assistant]
I'll run a SPARQL query that:
- selects every item that is part of "level 3 of legal categories in France" (wd:Q112176282) and has a quantity (wdt:P1114) greater than 499, returning its IRI, French label, and count;
- adds one aggregate row labeled "OTHER" (using a fixed IRI) that sums counts of all remaining level-3 categories with counts <= 499;
- orders results by descending count.

Now I'll execute this query to get the actual data.

[Tool]
Call to function execute returned an error:
failed to parse input: parse error at position 244 for token UNION with content 'UNION' (the input most likely does not follow the grammar)

[Assistant]
The QLever endpoint doesn't allow UNION between different SELECT blocks. I need to structure as a single SELECT with GROUP BY and conditional aggregation: select ?cat ?labelFr ?count for categories with count>499, and include an aggregated 'OTHER' as a separate row computed by VALUES with a UNION of two patterns? Alternatively, perform a query that returns all categories with counts, then in SPARQL produce the 'OTHER' row by using GROUP BY with a CASE-like pattern: create a variable ?key that is the category IRI for >499 else IRI('http://example.org/OTHER'), then group by ?key and compute SUM for 'OTHER' or MAX for the actual categories.

I'll craft a query:
- Retrieve all ?cat wdt:P361 wd:Q112176282; ?cat wdt:P1114 ?cnt.
- BIND(IF(?cnt > 499, STR(?cat), "http://example.org/OTHER") AS ?catKeyStr)
- Then GROUP BY ?catKeyStr and produce ?cat = IRI(?catKeyStr) if it's an IRI, else IRI("http://example.org/OTHER") — but constructing IRI from string that may be already IRI works.
However, STR(?cat) yields full IRI; I can use IRI(?catKeyStr) for actual IRI.
Also get label for real categories using OPTIONAL where ?cat = IRI(?catKeyStr) — but for OTHER we need label "OTHER".

We must ensure result returns actual identifiers / IRIs of items. For categories >499, return their real IRIs; for OTHER return the synthetic IRI http://example.org/OTHER.

Implement:

SELECT (IRI(?catKeyStr) AS ?cat) (IF(?catKeyStr = "http://example.org/OTHER", "OTHER", ?labelFr) AS ?labelFr) (SUM(?cnt) AS ?count)
WHERE {
  ?cat0 wdt:P361 wd:Q112176282;
        wdt:P1114 ?cnt.
  OPTIONAL { ?cat0 rdfs:label ?labelFr FILTER(LANG(?labelFr)="fr") }
  BIND( IF(?cnt > 499, STR(?cat0), "http://example.org/OTHER") AS ?catKeyStr )
}
GROUP BY ?catKeyStr ?labelFr
ORDER BY DESC(?count)

But grouping by ?labelFr may duplicate for OTHER rows; for OTHER labelFr is absent. For categories >499, labelFr is fine. For GROUP BY aggregate, labelFr must be included but for multiple categories in OTHER, labelFr will be multiple values — but since for catKeyStr = "http://example.org/OTHER" labelFr would be undefined; but since it's grouped with labelFr included, it's okay because only one labelFr value exists per catKeyStr when catKeyStr is actual cat. For catKeyStr OTHER, there will be many different ?labelFr values but they are absent — grouping by ?labelFr will produce multiple groups; that's a problem.

So better approach: Use GROUP BY ?catKeyStr and use SAMPLE(?labelFr) to get one label or use MAX. But rule 6 said not to perform extra computation outside SPARQL — but SAMPLE is SPARQL aggregator, allowed.

So:

SELECT (IRI(?catKeyStr) AS ?cat) (IF(?catKeyStr = "http://example.org/OTHER", "OTHER", SAMPLE(?labelFr)) AS ?labelFr) (SUM(?cnt) AS ?count)
WHERE { ... }
GROUP BY ?catKeyStr
ORDER BY DESC(?count)

Let's run this.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: The target ?labelFr of an AS clause was already used in the query body.

[Tool]
Got 1 row and 3 columns:
| cat         | labelFr                 | count               |
| ----------- | ----------------------- | ------------------- |
| wd:Q3477483 | section de commune (fr) | 27000 (xsd:decimal) |

[Tool]
Top 10 property alternatives:
1. part of, also known as meronym of, contained within, of, part of-property, section of (wd:P361 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
2. Wikidata item of this property, also known as Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property, subject item (wd:P1629 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): item corresponding to the concept represented by the property
3. property, also known as allowed qualifier (wd:P2306 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): qualifier to define a property constraint in combination with P2...traint), or to limit the scope of Q44292881 (wikidata statement)
4. Wikidata property, also known as has property, main property, property, property for this item (wd:P1687 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): main Wikidata property for this item
5. has characteristic, also known as trait, has quality, inherent property, object has characteristic, parameter (wd:P1552 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
6. properties for this type, also known as has property, properties for this class, property for this class, property for this type, suggested properties for this instance (wd:P1963 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): when this subject is used as object of “instance of”, the following properties normally apply
7. characteristic of, also known as quality of, property of, of, inheres in (wd:P13044 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): (qualifier only) statement value is a characteristic, quality, property, or state of this qualifier value
8. uses property, also known as property used, property Wikidata used, selfie property, discusses property, discusses Wikidata property (wd:P3176 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself), subproperty of uses
9. source website for the property, also known as property source, Wikidata property source, website source, URL for the property, source website of the property (wd:P1896 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): URL of website acting as source of data for this Wikidata property, subproperty of URL
10. bill number, also known as legal number (wd:P10703 as pqv/ps/psv/pq/prv/wdt/p/prn/psn/pqn/wdtn/pr): number assigned to a bill to be submitted to the parliament of the state or local government

[Tool]
Got 2 rows and 3 columns:
| cat                        | labelFr                 | count               |
| -------------------------- | ----------------------- | ------------------- |
| wd:Q3477483                | section de commune (fr) | 27000 (xsd:decimal) |
| <http://example.org/OTHER> | OTHER                   | 0 (xsd:int)         |

[Assistant]
We got one real category with count > 499: section de commune (Q3477483) 27000. The 'OTHER' sum is 0, meaning there were no other level 3 categories with P1114 values <=499 — likely because many level-3 categories have no P1114 statement in Wikidata. The user's request likely expects a list where categories have counts >499 and OTHER sums the rest with counts <=499. Given the data in Wikidata is sparse, this is the result.

I'll present the final SPARQL query and the answer: one row for section de commune and OTHER sum 0. Include explanation of steps per additional rules: we must explain thought process before and after each step and function call. I have been doing that in commentary. Now finalize using functions.answer including the final SPARQL query and answer.

[Tool] Stopped generation process


PREFIX geof: <http://www.opengis.net/def/function/geosparql/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?place ?placeLabel ?coord ?center ?dist WHERE {
  wd:Q2180733 wdt:P625 ?center .
  ?place wdt:P625 ?coord ; wdt:P17 wd:Q213 ; wdt:P31 ?type .
  FILTER ( ?type IN ( wd:Q532 , wd:Q3957 ) ) BIND( geof:distance ( ?center , ?coord ) AS ?dist ) .
  FILTER ( ?dist <= 35 ) OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}
ORDER BY ?dist

I queried Wikidata for items that are instances of village (wd:Q532) or town (wd:Q3957) in the Czech Republic (wd:Q213) and are within 35 km of Mezno (wd:Q2180733). The query returns each place IRI, its English label (when available), its coordinates, the center coordinates (Mezno), and the distance in kilometers from Mezno. Example results (sorted by distance):

- wd:Q2180733 — Mezno — coord: POINT(14.644975 49.534590) — center: POINT(14.644975 49.534590) — dist: 0
- wd:Q1997738 — Střezimíř — coord: POINT(14.611369 49.532078) — center: POINT(14.644975 49.534590) — dist: 2.44128
- wd:Q2538253 — Sudoměřice u Tábora — coord: POINT(14.658528 49.510264) — center: POINT(14.644975 49.534590) — dist: 2.87647
- wd:Q2354186 — Červený Újezd — coord: POINT(14.604101 49.555475) — center: POINT(14.644975 49.534590) — dist: 3.75366
- wd:Q2574196 — Borotín — coord: POINT(14.613004 49.505101) — center: POINT(14.644975 49.534590) — dist: 4.00979

(Full result set contains 20 places; the SPARQL query above returns all matching settlements.)

What are the settlements (villages and towns) in the Czech Republic within a 35 km radius from the village of Mezno? Please include their coordinates, the coordinates of the center point, and the distance from the center point.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the settlements (villages and towns) in the Czech Republic within a 35 km radius from the village of Mezno? Please include their coordinates, the coordinates of the center point, and the distance from the center point.

[Assistant] Step 1: I'll search for the Wikidata item for the village "Mezno" (Czech Republic). I'll look for entities named "Mezno".

[Tool]
Top 10 entity alternatives:
1. Mezno (wd:Q2180733): village in Benešov District of Central Bohemian region, instance of municipality of the Czech Republic
2. Mezno (wd:Q111685698): instance of railway stop, railway stop in Czechia
3. Mezno (wd:Q30917394): former railway stop in Mezno, Czech Republic, instance of former railway stop
4. Mezno (wd:Q96153716): pond in Mezno, Czech Republic, instance of artificial pond
5. Mitrovice (Mezno) (wd:Q12038239): village in Benešov District of Central Bohemian region, instance of cadastral area in the Czech Republic, instance of municipal part of the Czech Republic
6. Mezno Tunnel (wd:Q108507418): instance of railway tunnel
7. Meznokto metropola (wd:Q12352510): instance of literary work
8. Structural isomerism and thermod...ed by B3LYP and PCM calculations (wd:Q43063359): scientific article published in June 2010, instance of scholarly article

[Assistant] I'll look up the Wikidata items for "village" and "town" to use as instance-of filters.

[Tool]
Top 10 entity alternatives:
1. village, also known as small town (wd:Q532)
2. Edinburgh of the Seven Seas, also known as Village, Tristan Settlement, Tristan Island Settlement, The Village, The Settlement (wd:Q498153): main settlement of the island of Tristan da Cunha, instance of human settlement
3. The Village, also known as Village (wd:Q465227): 2004 film by M. Night Shyamalan, instance of film
4. village in Turkey, also known as köy, village (wd:Q1529096)
5. ri, also known as village (wd:Q483519)
6. village, also known as villages in China (Taiwan), villages in Taiwan, villages in the Republic of China, tsun, tsuns (wd:Q7930614)
7. The Village, also known as Village, Sie fanden eine Heimat (wd:Q3228143): 1953 Swiss drama film directed by Leopold Lindtberg, instance of film
8. Salari jalil, also known as village (wd:Q5798259): instance of village, village in Iran
9. Village (wd:Q2526032): instance of board game, 2011 board game
10. Küçüksöbeçimen, also known as Village (wd:Q6591308): Village in Sarız, Kayseri, Turkey, instance of village in Turkey

[Assistant] The class "village" is wd:Q532. For "town", likely wd:Q3957 (town). I'll search "town" and also "human settlement" classes.

[Tool]
Top 10 entity alternatives:
1. town, also known as small city, small town (wd:Q3957)
2. Ipswich Town F.C., also known as Town, The Tractor Boys, The Blues, ITFC, Ipswich Town Football Club (wd:Q9653): association football club in Ipswich, England, instance of association football club
3. Huddersfield Town A.F.C., also known as Town, The Terriers, Huddersfield Town Football Club, Huddersfield Town FC, Huddersfield Town Association Football Club (wd:Q19473): association football club in Huddersfield, England, instance of association football club, instance of professional sports team
4. Luton Town F.C., also known as LTFC, Town, The Hatters, Luton Town Football Club, Luton Town FC (wd:Q18520): association football club in Luton, England, instance of association football club
5. Swindon Town F.C., also known as Town, The Robins, Swindon Town Football Club, Swindon Town FC, Swindon Town (wd:Q19634): association football club in Swindon, England, instance of association football club
6. The Town, also known as Town (wd:Q725539): 2010 film directed by Ben Affleck, instance of film
7. Grimsby Town F.C., also known as Grimsby Town FC, Town, The Mariners, GTFC, Grimsby Town Football Club (wd:Q18515): association football club in Cleethorpes, England, instance of association football club
8. Shrewsbury Town F.C., also known as Shrewsbury Town FC, Town, The Shrews, STFC, Shrewsbury Town Football Club (wd:Q19626): association football club in Shrewsbury, England, instance of association football club
9. Yeovil Town F.C., also known as Yeovil, YTFC, Yeovil Town Football Club, Yeovil Town FC, Yeovil Town (wd:Q19651): association football club in Yeovil, England, instance of association football club
10. Northampton Town F.C., also known as Town, Northampton, The Cobblers, NTFC, Northampton Town Football Club (wd:Q48945): association football club in Northampton, England, instance of association football club

[Assistant] Next I'll retrieve the coordinates of Mezno (wd:Q2180733) to use as the center point in distance calculations. I'll query the wdt:P625 (coordinate location) property.

[Tool]
Got 1 row and 1 column:
| coord                                       |
| ------------------------------------------- |
| POINT(14.644975 49.534590) (geo:wktLiteral) |

[Assistant] I'll search for common Wikidata classes used for Czech settlements: "municipality of the Czech Republic" and "market town" to make sure I include relevant settlement types.

[Tool]
Top 10 entity alternatives:
1. municipality of the Czech Republic, also known as municipality of Czechia (wd:Q5153359)
2. municipal part of the Czech Republic, also known as municipal part in Czechia, part of the municipality in the Czech Republic (wd:Q61089180)
3. theatre of the Czech Republic (wd:Q3491345)
4. flag of the Czech Republic, also known as the Czech Republic flag, Czech flag, flag of Czechoslovakia, flag of Czechia, Czech Republic flag (wd:Q127155): national flag of the Czech Republic, instance of national flag
5. region of the Czech Republic (wd:Q38911)
6. district of the Czech Republic, also known as List of districts of the Czech Republic, districts of the Czech Republic (wd:Q548611)
7. Czech cuisine, also known as cuisine of the Czech Republic, Czech food (wd:Q871595)
8. geography of the Czech Republic, also known as Czech Republic geography, the Czech Republic geography (wd:Q76380)
9. President of the Czech Republic, also known as President of Czechia (wd:Q1819381)
10. Parliament of the Czech Republic, also known as Parliament of Czechia, Parlament České republiky, Czech Parliament (wd:Q2347172): instance of bicameral legislature, legislature of the Czech Republic, instance of parliament

[Assistant]
I'll build a SPARQL query that finds all items that are instances of village (wd:Q532) or town (wd:Q3957) or municipality of the Czech Republic (wd:Q5153359) located in the Czech Republic (wd:Q213) and have coordinates within 35 km of the coordinates of Mezno. I'll use wdt:P625 for coordinates and wdt:P17 for country. I'll also include the geometric distance calculation using geof:distance or geof:distance? QLever supports geof functions via geof or geof wkt? I should check examples. I'll attempt a query using a bounding circle via bif:st_distance? But endpoint supports geof:distance? The prefixes included geof and geof function geof:distance. I'll craft query using geof:distance between the coordinates as wktLiteral points and filter <= 35000 meters. First, I'll test a query selecting settlements with instance-of filters.
I'll run an initial SPARQL query to get settlements in Czech Republic with coordinates and compute distance to Mezno using geof:distance.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| place                             | placeLabel | coord                                       | dist                  |
| --------------------------------- | ---------- | ------------------------------------------- | --------------------- |
| Mezno (wd:Q2180733)               |            | POINT(14.644975 49.534590) (geo:wktLiteral) | 0 (xsd:decimal)       |
| Střezimíř (wd:Q1997738)           |            | POINT(14.611369 49.532078) (geo:wktLiteral) | 2.44128 (xsd:decimal) |
| Sudoměřice u Tábora (wd:Q2538253) |            | POINT(14.658528 49.510264) (geo:wktLiteral) | 2.87647 (xsd:decimal) |
| Červený Újezd (wd:Q2354186)       |            | POINT(14.604101 49.555475) (geo:wktLiteral) | 3.75366 (xsd:decimal) |
| Borotín (wd:Q2574196)             |            | POINT(14.613004 49.505101) (geo:wktLiteral) | 4.00979 (xsd:decimal) |
| ...                               | ...        | ...                                         | ...                   |
| Stádlec (wd:Q1977388)             |            | POINT(14.495096 49.379672) (geo:wktLiteral) | 20.3493 (xsd:decimal) |
| Planá nad Lužnicí (wd:Q590362)    |            | POINT(14.701503 49.354509) (geo:wktLiteral) | 20.4369 (xsd:decimal) |
| Vysoký Chlumec (wd:Q1014449)      |            | POINT(14.389806 49.617731) (geo:wktLiteral) | 20.5905 (xsd:decimal) |
| Vodice (wd:Q1925806)              |            | POINT(14.909015 49.464377) (geo:wktLiteral) | 20.6044 (xsd:decimal) |
| Načeradec (wd:Q534267)            |            | POINT(14.906372 49.610250) (geo:wktLiteral) | 20.6412 (xsd:decimal) |

[Assistant] I'll search for the "market town" class and possibly "municipality" variants, then refine the query to filter by distance <= 35 km (so <=35 on geof:distance which is in kilometers). I'll also include labels and coordinates and compute distance.

[Tool]
Top 10 entity alternatives:
1. market town (wd:Q18511725)
2. Jarosław Trade Hall, also known as Town Market (wd:Q30232407): instance of historic building
3. Market Town (wd:Q123287921): instance of short film, 1942 film
4. Town Market (wd:Q50907679): painting by Mattheus van  Helmont, instance of painting
5. Haaga, also known as Haaga market town, Haagan kauppala, Haga, Haga köping (wd:Q11861078): former municipality of Finland, now part of Helsinki, instance of former municipality of Finland
6. Hmongtown Marketplace, also known as Hmong Town Market Place, Hmong Town Marketplace, Hmong Town Market, Hmong Town Flea Market, Hmongtown Flea Market (wd:Q123130383): Indoor-outdoor marketplace focused on Hmong culture, instance of market
7. Boxholm market town (wd:Q10434050): former municipality of Sweden, instance of köping
8. Frösö Market Town, also known as Frösö köping (wd:Q10499797): market town municipality in Jämtland Country, Sweden between 1952-1971, instance of köping
9. Ōtara Markets, also known as Otara Markets, Otara Town Market, Otara Market, Otara Flea Markets, Ōtara Flea Market (wd:Q123398305): regular market in Ōtara, South Auckland, New Zealand, instance of flea market
10. Town Landing Market (wd:Q122332990): historic building in Falmouth Foreside, Maine

[Assistant] I'll extend the instance-of filter to include market town (wd:Q18511725) and possibly other settlement types. I'll craft a final query that retrieves all places in Czech Republic where wdt:P31 is one of village, town, market town, municipality of the Czech Republic, and within 35 km (35000 meters) of Mezno. I'll return place IRI, label, coordinate, center coordinate, and distance. The center coordinate should be returned; I'll include ?center bound earlier. I'll ensure distance units: previous results seemed in kilometers — geof:distance returned 0, 2.44 etc which likely are kilometers. The center coordinate we got is POINT(14.644975 49.534590). I'll run the refined query with FILTER(?dist <= 35). I'll include ORDER BY ?dist.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] Now I'll run the refined SPARQL query without using the wikibase label service, and retrieve place IRIs, optional English labels, coordinates, the center coordinate, and distance <= 35 km from Mezno.

[Tool]
Got 312 rows and 5 columns, showing the first 5 and last 5 rows below:
| place                             | placeLabel               | coord                                       | center                                      | dist                  |
| --------------------------------- | ------------------------ | ------------------------------------------- | ------------------------------------------- | --------------------- |
| Mezno (wd:Q2180733)               | Mezno (en)               | POINT(14.644975 49.534590) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 0 (xsd:decimal)       |
| Střezimíř (wd:Q1997738)           | Střezimíř (en)           | POINT(14.611369 49.532078) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 2.44128 (xsd:decimal) |
| Sudoměřice u Tábora (wd:Q2538253) | Sudoměřice u Tábora (en) | POINT(14.658528 49.510264) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 2.87647 (xsd:decimal) |
| Červený Újezd (wd:Q2354186)       | Červený Újezd (en)       | POINT(14.604101 49.555475) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 3.75366 (xsd:decimal) |
| Borotín (wd:Q2574196)             | Borotín (en)             | POINT(14.613004 49.505101) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 4.00979 (xsd:decimal) |
| ...                               | ...                      | ...                                         | ...                                         | ...                   |
| Třebějice (wd:Q2259116)           | Třebějice (en)           | POINT(14.819800 49.244492) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.6505 (xsd:decimal) |
| Oslov (wd:Q535173)                | Oslov (en)               | POINT(14.211988 49.399342) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.7159 (xsd:decimal) |
| Orlík nad Vltavou (wd:Q1641768)   | Orlík nad Vltavou (en)   | POINT(14.164775 49.510741) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.7631 (xsd:decimal) |
| Nečín (wd:Q2113271)               | Nečín (en)               | POINT(14.234083 49.698523) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.7642 (xsd:decimal) |
| Obory (wd:Q431696)                | Obory (en)               | POINT(14.216416 49.680481) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.8822 (xsd:decimal) |

[Assistant] I'll run a final SPARQL query that restricts to items that are instances of village (wd:Q532) or town (wd:Q3957), located in the Czech Republic (wd:Q213), and within 35 km of Mezno (wd:Q2180733). I'll return the place IRI, English label (if available), coordinates, the center coordinates, and the distance (in kilometers). Then I'll provide the query and summarize the results.

[Tool]
Got 20 rows and 5 columns, showing the first 5 and last 5 rows below:
| place                           | placeLabel            | coord                                       | center                                      | dist                  |
| ------------------------------- | --------------------- | ------------------------------------------- | ------------------------------------------- | --------------------- |
| Dědice (wd:Q11862916)           | Dědice (en)           | POINT(14.712500 49.513300) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 5.41846 (xsd:decimal) |
| Alenina Lhota (wd:Q10769866)    | Alenina Lhota (en)    | POINT(14.521400 49.526400) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 8.96487 (xsd:decimal) |
| Makov (wd:Q12034954)            | Makov (en)            | POINT(14.548600 49.458900) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 10.9216 (xsd:decimal) |
| Všechov (wd:Q12006033)          | Všechov (en)          | POINT(14.618100 49.431400) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 11.6373 (xsd:decimal) |
| Oltyně (wd:Q12042574)           | Oltyně (en)           | POINT(14.519400 49.423100) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 15.3622 (xsd:decimal) |
| ...                             | ...                   | ...                                         | ...                                         | ...                   |
| Týnčany (wd:Q12060188)          | Týnčany (en)          | POINT(14.331900 49.583100) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 23.217 (xsd:decimal)  |
| Hostín (Kovářov) (wd:Q12020388) | Hostín (Kovářov) (en) | POINT(14.271300 49.531300) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 26.9694 (xsd:decimal) |
| Benešov (wd:Q470394)            | Benešov (en)          | POINT(14.687021 49.781696) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 27.6431 (xsd:decimal) |
| Smrdov (wd:Q12055035)           | Smrdov (en)           | POINT(15.036700 49.565300) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 28.4652 (xsd:decimal) |
| Třebějice (wd:Q2259116)         | Třebějice (en)        | POINT(14.819800 49.244492) (geo:wktLiteral) | POINT(14.644975 49.534590) (geo:wktLiteral) | 34.6505 (xsd:decimal) |

[Assistant] All steps done. I'll now finalize with the SPARQL query and answer.

[Tool] Stopped generation process